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Electronic Science

2 papers hereh-index 00 citations2 works total

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  • cond-mat.mtrl-sci1
  • eess.IV1

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most citedA Physics-Driven Neural Network with Parameter Embedding for Generating Quantitative MR Maps from Weighted Images

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2026

Hierarchical Interdiffusion Kinetics in Nanoscale Ni/Al Multilayers

S. S. Riegler, I. Gallino, N. J. Peter +11

Reactive metallic multilayers store chemical energy that can be released rapidly through interdiffusion and intermetallic formation. Predictive control of this heat release require…

eess.IV2025★ 1 cited

A Physics-Driven Neural Network with Parameter Embedding for Generating Quantitative MR Maps from Weighted Images

Lingjing Chen, Chengxiu Zhang, Yinqiao Yi +9

We propose a deep learning-based approach that integrates MRI sequence parameters to improve the accuracy and generalizability of quantitative image synthesis from clinical weighte…

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